About the role
AI summarisedAs a Data Scientist at Micron, you will apply mathematical, statistical, and IT techniques to uncover patterns in data, build predictive models, and develop actionable solutions for advanced semiconductor manufacturing. You will collaborate with Process Integration and Process Engineering teams to maximize product yield and improve process variation by analyzing large, disparate datasets.
IDMOnsiteSmart MFG/AI
Key Responsibilities
- Analyze inline/param/probe data alongside semiconductor manufacturing engineering teams to identify yield detractors and drive continuous improvement.
- Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support manufacturing operations.
- Apply data science techniques, statistical modeling, and machine learning to troubleshoot yield issues and support defect reduction strategies.
- Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities.
- Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, Angular) to communicate technical findings to engineering stakeholders.
Requirements
- Bachelor's degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field.
- At least 2 years of hands-on experience in data science, analytics, or scripting applications.
- Strong Python programming skills and working experience with SQL for data extraction and manipulation.
- Familiarity with statistical tools, methodologies (such as SPC, DOE, or FDC/EDA), and data-driven problem solving.
- At least 2 years of working experience utilizing data visualization tools (e.g., Dash, Plotly, Angular) to present complex engineering data.
- Willingness to learn semiconductor manufacturing principles and collaborate with equipment/integration engineers on production issues.